Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 56 Issue 10
Oct.  2026
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Article Contents
YU Gui, TONG Jiahui, SONG Yuqiu, YU Zhixiang. Research on Carbon Emission Accounting for Tunnel Exit Slope Construction Based on 3D Terrain Reconstruction[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(10): 231-238. doi: 10.3724/j.gyjzG25091003
Citation: YU Gui, TONG Jiahui, SONG Yuqiu, YU Zhixiang. Research on Carbon Emission Accounting for Tunnel Exit Slope Construction Based on 3D Terrain Reconstruction[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(10): 231-238. doi: 10.3724/j.gyjzG25091003

Research on Carbon Emission Accounting for Tunnel Exit Slope Construction Based on 3D Terrain Reconstruction

doi: 10.3724/j.gyjzG25091003
  • Received Date: 2025-09-10
    Available Online: 2026-11-06
  • Under the "dual-carbon" strategy, controlling carbon emissions during the tunnel construction phase has become critical for the low-carbon transition of transportation infrastructure. To address the limitation of traditional design-drawing-based methods, which cannot accurately reflect on-site construction conditions, this paper proposes a high-precision carbon accounting method based on three-dimensional(3D) terrain reconstruction. A 3D site modeling approach using UAV oblique photogrammetry and multi-view geometric reconstruction was developed to enable accurate extraction of the disturbance area and earthwork quantities. Based on the 3D terrain data, a multi-dimensional carbon accounting framework was established, covering mechanical operations, material transportation, and vegetation disturbance, thereby enabling precise estimation of construction-phase carbon emissions and facilitating construction scheme optimization. The proposed method was applied to a tunnel project on the Xi’an-Chongqing High-Speed Railway. The baseline scheme (Scheme 1) yielded 355296.6 kgCO2e. Two optimization schemes were further proposed: Scheme 2 reduced emissions by 33.83% by eliminating high-energy equipment and optimizing construction scheduling; Scheme 3, building on Scheme 2, reduced emissions by 34.31% by optimizing equipment configuration, improving machinery efficiency, and introducing photovoltaic power. At the same time, the optimized schemes reduced total construction cost from CNY 2.5517 million to CNY 2.0887 million.
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  • [1]
    XU B Q,LIU C. A 3D reconstruction method for buildings based on monocular vision[J]. Computer-Aided Civil and Infrastructure Engineering,2022,37(3):354-369.
    [2]
    POLLEFEYS M,NISTÉR D,FRAHM J M,et al. Detailed real-time urban 3D reconstruction from video[J]. International Journal of Computer Vision,2008,78(2):143-167.
    [3]
    LU Q C,SANGHOON L,ASCE A M. Image-based technologies for constructing as-is building information models for existing buildings[J]. Journal of Computing in Civil Engineering,2017,31(4):04017005.
    [4]
    HAN Y T,FENG D M,WU W W,et al. Geometric shape measurement and its application in bridge construction based on UAV and terrestrial laser scanner[J]. Automation in Construction,2023,151:104880.
    [5]
    CHANGHUN S,PAN Y K. 3D terrain reconstruction of construction sites using a stereo camera[J]. Automation in Construction,2016,64:65-77.
    [6]
    PUCKO Z,SUMAN N,REBOLJ D. Automated continuous construction progress monitoring using multiple workplace real time 3D scans[J]. Advanced Engineering Informatics,2018,38:27-40.
    [7]
    YAN X Z,ZHANG H,LI H. Computer vision-based recognition of 3D relationship between construction entities for monitoring struck-by accidents[J]. Computer-Aided Civil and Infrastructure Engineeringcv,2020,35(9):1023-1038.
    [8]
    LIU R,LIANG H,WANG Z Y,et al. Fusion-based high-quality polarization 3D reconstruction[J]. Optics and Lasers in Engineering,2023,162:107397.
    [9]
    REJA V K,VARGHESE K,HA Q P. Computer vision-based construction progress monitoring[J]. Automation in Construction,2022,138:104245.
    [10]
    周志祥,姜腾蛟,唐亮,等.移动式三维激光扫描系统在桥面全息变形监测的应用研究[J].应用基础与工程科学学报,2018,26(5):1078-1091.
    [11]
    熊文,石颖,丁旭东,等.基于点云模型的桥梁构件形态变化趋势识别与分析[J].桥梁建设,2018,48(6):35-40.
    [12]
    苑壮.基于无人机三维激光扫描技术的矿区岩移观测研究[D].济南:山东科技大学,2020.
    [13]
    RAZALI A F,ARIFF M F M,MAJID Z. A hybrid point cloud reality capture from terrestrial laser scanning and uav-photogrammetry[J]. The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2022,46:459-463.
    [14]
    鲍学英,韩通,霍雨雨.铁路轨道工程物化阶段碳排放预测及影响因素研究[J].铁道科学与工程学报,2024,21(10):4299-4310.
    [15]
    鲍学英,申中帅,刘北胜,等.铁路路基挡墙碳减排方案优选及降碳策略研究[J].铁道科学与工程学报,2024,21(9):3842-3853.
    [16]
    戴延泽,占曙光.考虑碳排放的城轨开行大小交路方案分析[J].铁道科学与工程学报,2022,19(12):3546-3556.
    [17]
    陈坤阳,段华波,张怡,等.广州地铁盾构隧道建设期碳排放强度与减排潜力研究[J].隧道建设(中英文),2022,42(12):2064-2072.
    [18]
    方海,曹子龙,凤振华,等.基于全生命周期理论的公路建设期碳排放核算方法及实证研究[J].公路工程,2021,46(1):92-97.
    [19]
    何青,李晔,张鑫.道路系统全生命周期碳排放量化分析框架:基于国际标准[J].城市交通,2022,20(1):102-109.
    [20]
    JIA S Y,LIU M H. Embodied GHG emissions of high speed rail stations:quantification,data-driven prediction and cost-benefit analysis[J]. Journal of Cleaner Production,2022,366:133006.
    [21]
    吴宏飞.基于正交试验的污水泵性能优化设计[J].水泵技术,2021(5):13-16.
    [22]
    万伦,宋文武,虞佳颖,等.叶片包角对高比转速离心泵水力性能的影响研究[J].人民长江,2018,49(15):96-100.
    [23]
    中华人民共和国住房和城乡建设部.建筑碳排放计算标准:GB/T 51366-2019[S].北京:中国建筑工业出版社,2019.
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